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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 6865
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    Explanations

    mentions of specific mayors, especially with their full names

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vati
    -0.92
     Allaah
    -0.91
    hra
    -0.88
    inav
    -0.87
     Malaysia
    -0.85
    Pakistan
    -0.85
    Austral
    -0.83
     Malays
    -0.80
    Iran
    -0.79
    reys
    -0.78
    POSITIVE LOGITS
    Mayor
    1.66
     Mayor
    1.65
     city
    1.65
     mayor
    1.57
     mayoral
    1.47
     City
    1.46
     borough
    1.46
     Downtown
    1.45
    City
    1.39
     Streets
    1.36
    Activations Density 0.785%

    No Known Activations